www.HIMSSConference.org
#PrecisionHIT
FEBRUARY 11, 2019
ORLANDO, FL
Overcoming Obstacles, Seizing
Opportunities, & Curing Cancer
The Future of Wellness
John D. Halamka MD
International Healthcare Innovation Professor,
Harvard Medical School
The Healthcare Experience Around the World
Finding the right setting, right provider, and right care in China
Coordinating care in India
Exchanging Data in the Nordics
Seeking Emergency Care in Scotland
My Healthcare Record in Australia
What is the Urgency to Change?
Aging societies all over the world - Japan, Sweden, Germany, Italy, US
Falling birth rates
Shortage of clinicians
Unsustainable costs
Variations in quality
What New Tools are Available in 2019?
Internet of things and connected health devices are exploding
Artificial Intelligence and Machine Learning are maintstream tools available
from multiple platform providers
The era of apps and cloud hosted services has arrived
Application Programming Interfaces are increasing in number and
sophistication
Policy drivers including value-based purchasing, promoting interoperability
program and telemedicine friendly reforms
The Connected Home 2019
Cameras
Sensors
Ambient listening/voice control
Hubs and integration
APIs
My Experiences with Connected Health Devices
My own diagnosis and treatment of hypertension
My wife’s seeking a specialty referral
My father’s treatment for multiple sclerosis
My mother’s activities of daily living
My collaboration with BIDMC@home development
Challenges We Still Face
Medical/legal precedent with storage, use, and alerts/reminders for patient
generated healthcare data
Data provenance and quality
Turning data into information, knowledge and wisdom
Understanding normal variation
Security and privacy concerns
How Will Machine Learning Change Healthcare?
Augmenting, not replacing clinicians
Helping families/patients/carers navigate the healthcare system
Examples from South Africa and India
Buoy Health, Ada and Babylon Health
A BIDMC Case Study
BIDMC Early Experiences with Machine Learning
Optimizing the operating room schedule
Predicting discharge date
Predicting ambulatory no shows
Automating fax workflow
Enhanced search of the health record
Apps/Cloud Hosted Services will Surround the EHR
Examples from Athena’s More Disruption Please, Epic’s Orchard, and
Cerner’s App Gallery
Medaware case study and prescription drug monitoring
Protecting Access to Medicare Act and early experiences with Anvita Health
Apple’s Healthkit and the consumerization of healthcare
Suki.ai and reducing clinician burden
The Argonaut Project and the Evolution of APIs
How it all started
Year 1
Year 2
Year 3 and beyond
The policy changes needed
The Policy Changes Needed
The reality of Information Blocking the upcoming rule
Best practices for use and access to APIs, services and tools
Reducing clinician burden of documentation
Rationalizing quality measures
Encouraging third party innovation
Closing Thoughts
The future for digital health in 2019 is very
bright
Although government has a role as convener
and catalyst, the real acceleration will happen
in the private sector and from foundations
The technology we need is already in place
from the consumer sector, we just need better
integration
API standards are rapidly maturing
The urgency to act is clear - we’re all patients,
so let’s make it happen